Wikileaks Twitter DM

Wikileaks Twitter DM

About

On the 29th of July 2018, Emma Best published on her website the copy of 11k+ wikileaks Twitter DM : https://emma.best/2018/07/29/11000-messages-from-private-wikileaks-chat-released/

Here is a data extraction and wrangling of this corpus, to make it easily searchable, extractable and sharable.

The datasets:

List of all tweets

A dataset with 3 columns:

text: extracted text
date: date of the tweet
user: user who sent the tweet

Get the csv: wikileaks_dm.csv

DMS by year

2015

2015.csv

2016

2016.csv

2017

2017.csv

Count of user interactions

Get the csv: user_count.csv

DMs by users

user_Bean.csv

user_Cabledrum.csv

user_DMConversationEntry.csv

user_Emmy.B.csv

user_LibertarianLibrarian.csv

user_M.csv

user_Matt.Watt.csv

user_noll.csv

user_SAWC.Sydney.csv

user_voidiss.csv

user_WikiLeaks.Press.csv

user_WikiLeaks.Task.Force.csv

user_WikiLeaks.csv

user_WISE.Up.Action.csv

user_WISE.Up.Wales.csv

Count of daily tweets

Get the csv: daily.csv

Mentions

Tweets that contains a mention to a Twitter account:

Get the csv: mentions.csv

Count of the mentions:

Get the csv: mentions_count.csv

Urls

Extracted links, (starting with http)

Get the csv: urls.csv

Methodology

Everything has been done in R.

Methodology is described in methodo

colinfay.me • @_colinfay